Add pipeline tag and improve model card

README.md

@@ -1,6 +1,7 @@
 ---
 library_name: pytorch
 license: other
+pipeline_tag: image-to-video
 tags:
 - brdfusion
 - inverse-rendering
@@ -15,7 +16,9 @@ This repository contains the pretrained checkpoints for the paper **BRDFusion: P
 
 [Project Page](https://shigon255.github.io/brdfusion-page/) | [GitHub](https://github.com/shigon255/BRDFusion) | [arXiv](https://arxiv.org/abs/2606.17049)
 
-BRDFusion combines physics-based inverse rendering with generative modeling for high-quality urban scene relighting. It decomposes urban videos into geometry, materials, and HDR lighting for novel-view rendering, relighting, and scene-edit applications.
+BRDFusion is a unified framework that combines physics-based inverse rendering with generative modeling for high-quality urban scene relighting. It decomposes urban videos into geometry, materials, and HDR lighting, enabling applications such as novel-view rendering, night simulation, and dynamic object insertion/editing.
+
+By combining these two complementary approaches, BRDFusion recovers explicit, consistent scene properties with physical modeling and alleviates optimization ambiguity with generative priors. During forward rendering, the physical model provides controllable rendering from the scene configuration, and the generative model denoises and fixes artifacts.
 
 ## Citation
 
@@ -29,4 +32,4 @@ BRDFusion combines physics-based inverse rendering with generative modeling for
   primaryClass={cs.CV},
   url={https://arxiv.org/abs/2606.17049}, 
 }
-```
+```